There are 8 repositories under causality-analysis topic.
An index of algorithms for learning causality with data
YLearn, a pun of "learn why", is a python package for causal inference
A Python package for causal inference using Synthetic Controls
Hyper-geometric computational causality library for Rust
Python package for Granger causality test with nonlinear forecasting methods.
Tigramite is a time series analysis python module for linear and information-theoretic causal inference. Version 3.0 described in http://arxiv.org/abs/1702.07007 is available at https://github.com/jakobrunge/tigramite!
A project for exploring differentially active signaling paths related to proteomics datasets
Causal Relation Extraction and Identification using Conditional Random Fields
Mendelian Randomization with Biomarker Associations for Causality with Outcomes
Causal Inference Using Quasi-Experimental Methods
Identifying reasons for human actions in lifestyle vlogs.
This project contains the implementation of the Dimensional Causality method proposed in Benko, Zlatniczki, Fabo, Solyom, Eross, Telcs & Somogyvari (2018) - Exact Inference of Causal Relation in Dynamical Systems.
Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.
This repository contains the code for the paper "Sentiment-driven statistical causality in multimodal systems", by Ioannis Chalkiadakis, Anna Zaremba, Gareth W. Peters and Michael J. Chantler.
MATLAB module for assessing the causal links between time series
Code accompanying my 2021 ASA SDSS paper
This is for Econometrics and other Economics related materials
Predicting whether Insurance claims will accepted or rejected for online Travel Agencies
Tutorials for the synthetic control method for causal inference using PyMC
Starter Pack About Mendelian Randomization. My Feedback about MR traning followed in 2020.
The Causal Impact model lets you examine ecommerce and marketing time series data to understand whether changes have led to a statistically significant performance improvement. Here's how to use PyCausalImpact to analyse changes in marketing activity or in this case on Boeing stock price
Multiple projects for Envrionmental Impact Evaluation and Social Policies Evaluation (Avg Grade: 19.5/20)
Repositorio para el proyecto final de la clase Métodos Analíticos del Prof. Felipe González; ITAM MCD2023
CausalVerse: An R toolkit expediting causal research & analysis. Streamlines complex methodologies, empowering users to unveil causal relationships with precision. Your go-to for insightful causality exploration.
Master's degree thesis project using Debiased Machine Learning to estimate treatment effects from economic policy in US funds performance.